Risk Assessment of Subsea Oil Pipeline Decommissioning Under Uncertainty

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Risk assessment identified dynamic positioning as a major factor influencing subsea operations.
Sensitivity analysis revealed five primary risk factors affecting safety measures during decommissioning projects.
Analysis utilized Bayesian networks and Monte Carlo simulation to evaluate risk probabilities accurately.
Findings highlight the need for improved risk prevention measures in subsea pipeline decommissioning.

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Analysis reveals key risk factors and prevention measures for subsea pipeline decommissioning, indicating the role of Bayesian networks.

Luo et al. (2025) studied this question.

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